This repository involves building a simple K-Nearest Neighbors classifier using the Iris dataset and scikit learn, and then visualizing the results with Plotly Dash. The lecture is intended for students with some introductory knowledge of data science (i.e., you understand simple classification and can read a confusion matrix).

• You can view the finished app here.
• Take a moment to read my Medium post about deploying Dash apps.
• I also have a gallery of simple Dash apps for learning here.
• If you'd like to learn even more about Plotly Dash, check out my tutorial repo on github!.
• Reminder - the assets folder contains a file called favicon.ico -- you can find and download customized favicons here. Just replace the current favicon with a new one!
• Note that Plotly dash apps are best viewed in a modern browser like Mozilla or Chrome.